Support Vector Machine (SVM) Research in India: A Scientometric Evaluation of India’s Publications Output during 2002-19

B M Gupta, S M Dhawan, Ghouse Modin Mamdapur

Abstract


The present study examines “Support Vector Machines” (SVM) research in India based on bibliometric indicators with the aim to describe the status of research in the subject at global, national, institutional, and author level. The data for the study was sourced from Scopus database covering 18-year period 2002-19. The paper identifies key countries, key subject areas, key SVM applications, key organizations and authors, key journals and highly-cited papers in SVM research. India registered a high 57.15% growth, and a 384% jump in its 9-year cumulative output. India contributed a 7.46% share to the global output, a 10.96% share as international collaborative papers, and a 6.37% share as sponsored research papers. SVM research by India registered an average of 13.10 citations per paper. China leads the world ranking with a global publication share of 48.60% share in SVM research, followed distantly by USA (9.81%), India (7.46%), etc.


Full Text:

PDF

References


Burges, C. J. C. (1998). A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2), 121–167. https://doi.org/10.1023/A:1009715923555

Campbell, W. M., Campbell, J. P., Reynolds, D. A., Singer, E., & Torres-Carrasquillo, P. A. (2006). Support vector machines for speaker and language recognition. Computer Speech & Language, 20(2–3), 210–229. https://doi.org/10.1016/j.csl.2005.06.003

Kernel Functions-Introduction to SVM Kernel & Examples. (2017, August 12). DataFlair. https://data-flair.training/blogs/svm-kernel-functions/

Pupale, R. (2019, February 11). Support Vector Machines (SVM)-An Overview. Medium. https://towardsdatascience.com/https-medium-com-pupalerushikesh-svm-f4b42800e989

Sarkar, P. (2019). Support Vector Machines in Machine Learning. https://www.knowledgehut.com/blog/data-science/support-vector-machines-in-machine-learning

Vadapalli, P. (2020, December 1). Support Vector Machines: Types of SVM [Algorithm Explained]. UpGrad Blog. https://www.upgrad.com/blog/support-vector-machines/

What Is Support Vector Machine (SVM) In Machine Learning. (2021). https://www.softwaretestinghelp.com/support-vector-machine-tutorial/

Yu, D., Xu, Z., & Wang, X. (2020). Bibliometric analysis of support vector machines research trend: A case study in China. International Journal of Machine Learning and Cybernetics, 11(3), 715–728. https://doi.org/10.1007/s13042-019-01028-y


Refbacks

  • There are currently no refbacks.




Disclaimer 2016-2019 © Indian Library Association (ILA), All Rights Reserved.

Designed and Developed by Dr. Mohammad Nazim under the direction of Prof. Shabahat Husain.